class_docstr: Fix the backbones variable names for pretrained weight
code: def fix_bottleneck_name(self, name):
      if self.model_type == "SEResNeXt":
          conv_name1 = "conv" + name + "_x1"
          conv_name2 = "conv" + name + "_x2"
          conv_name3 = "conv" + name + "_x3"
          shortcut_name = name
      else:
          conv_name1 = name + "_branch2a"
          conv_name2 = name + "_branch2b"
          conv_name3 = name + "_branch2c"
          shortcut_name = name + "_branch1"
      return conv_name1, conv_name2, conv_name3, shortcut_name
  
file_path: PaddleHub/modules/image/classification/resnet50_v2_imagenet/name_adapter.py
label_desc: Use image node_id 6 for calling the NameAdapter obj's underlying member method code with example usage: obj.fix_bottleneck_name(name) and returns: conv_name1,  conv_name2,  conv_name3,  shortcut_name